version: 4.3.4
jobs:
  local_testing:
    docker:
      - image: circleci/python:3.9
    working_directory: ~/project

    steps:
      - checkout

      - run:
          name: Show git commit hash
          command: |
            echo "Git commit hash: $CIRCLE_SHA1"

      - run:
          name: Check if litellm dir was updated or if pyproject.toml was modified
          command: |
            if [ -n "$(git diff --name-only $CIRCLE_SHA1^..$CIRCLE_SHA1 | grep -E 'pyproject\.toml|litellm/')" ]; then
              echo "litellm updated"
            else
              echo "No changes to litellm or pyproject.toml. Skipping tests."
              circleci step halt
            fi
      - restore_cache:
          keys:
            - v1-dependencies-{{ checksum ".circleci/requirements.txt" }}
      - run:
          name: Install Dependencies
          command: |
            python -m pip install --upgrade pip
            python -m pip install -r .circleci/requirements.txt
            pip install "pytest==7.3.1"
            pip install "pytest-asyncio==0.21.1"
            pip install mypy
            pip install "google-generativeai==0.3.2"
            pip install "google-cloud-aiplatform==1.43.0"
            pip install pyarrow
            pip install "boto3==1.34.34"
            pip install "aioboto3==12.3.0"
            pip install langchain
            pip install lunary==0.2.5
            pip install "langfuse==2.27.1"
            pip install numpydoc
            pip install traceloop-sdk==0.0.69
            pip install openai
            pip install prisma            
            pip install "httpx==0.24.1"
            pip install fastapi
            pip install "gunicorn==21.2.0"
            pip install "anyio==3.7.1"
            pip install "aiodynamo==23.10.1"
            pip install "asyncio==3.4.3"
            pip install "apscheduler==3.10.4"
            pip install "PyGithub==1.59.1"
            pip install argon2-cffi
            pip install "pytest-mock==3.12.0"
            pip install python-multipart
            pip install google-cloud-aiplatform
            pip install prometheus-client==0.20.0
            pip install "pydantic==2.7.1"
            pip install "diskcache==5.6.1"
      - save_cache:
          paths:
            - ./venv
          key: v1-dependencies-{{ checksum ".circleci/requirements.txt" }}
      - run:
          name: Run prisma ./entrypoint.sh
          command: |
            set +e
            chmod +x entrypoint.sh
            ./entrypoint.sh
            set -e
      - run:
          name: Black Formatting
          command: |
            cd litellm
            python -m pip install black
            python -m black .
            cd ..
      - run:
          name: Linting Testing
          command: |
            cd litellm
            python -m pip install types-requests types-setuptools types-redis types-PyYAML
            if ! python -m mypy . --ignore-missing-imports; then
              echo "mypy detected errors"
              exit 1
            fi
            cd ..
  

      # Run pytest and generate JUnit XML report
      - run:
          name: Run tests
          command: |
            pwd
            ls
            python -m pytest -vv litellm/tests/ -x --junitxml=test-results/junit.xml --durations=5 
          no_output_timeout: 120m

      # Store test results
      - store_test_results:
          path: test-results

  installing_litellm_on_python:
    docker:
      - image: circleci/python:3.8
    working_directory: ~/project

    steps:
      - checkout
      - run:
          name: Install Dependencies
          command: |
            python -m pip install --upgrade pip
            pip install python-dotenv
            pip install pytest
            pip install tiktoken
            pip install aiohttp
            pip install click
            pip install jinja2
            pip install tokenizers
            pip install openai
      - run:
          name: Run tests
          command: |
            pwd
            ls
            python -m pytest -vv litellm/tests/test_python_38.py

  build_and_test:
    machine:
      image: ubuntu-2204:2023.10.1
    resource_class: xlarge
    working_directory: ~/project
    steps:
      - checkout
      - run:
          name: Install Docker CLI (In case it's not already installed)
          command: |
            sudo apt-get update
            sudo apt-get install -y docker-ce docker-ce-cli containerd.io
      - run:
          name: Install Python 3.9
          command: |
            curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh
            bash miniconda.sh -b -p $HOME/miniconda
            export PATH="$HOME/miniconda/bin:$PATH"
            conda init bash
            source ~/.bashrc
            conda create -n myenv python=3.9 -y
            conda activate myenv
            python --version
      - run:
          name: Install Dependencies
          command: |
            pip install "pytest==7.3.1"
            pip install "pytest-asyncio==0.21.1"
            pip install aiohttp
            pip install openai
            python -m pip install --upgrade pip
            python -m pip install -r .circleci/requirements.txt
            pip install "pytest==7.3.1"
            pip install "pytest-mock==3.12.0"
            pip install "pytest-asyncio==0.21.1"
            pip install mypy
            pip install "google-generativeai==0.3.2"
            pip install "google-cloud-aiplatform==1.43.0"
            pip install pyarrow
            pip install "boto3==1.34.34"
            pip install "aioboto3==12.3.0"
            pip install langchain
            pip install "langfuse>=2.0.0"
            pip install numpydoc
            pip install prisma            
            pip install fastapi            
            pip install "httpx==0.24.1"
            pip install "gunicorn==21.2.0"
            pip install "anyio==3.7.1"
            pip install "aiodynamo==23.10.1"
            pip install "asyncio==3.4.3"
            pip install "PyGithub==1.59.1"
            # Run pytest and generate JUnit XML report
      - run:
          name: Build Docker image
          command: docker build -t my-app:latest -f Dockerfile.database .
      - run:
          name: Run Docker container
          command: |
            docker run -d \
              -p 4000:4000 \
              -e DATABASE_URL=$PROXY_DATABASE_URL \
              -e AZURE_API_KEY=$AZURE_API_KEY \
              -e REDIS_HOST=$REDIS_HOST \
              -e REDIS_PASSWORD=$REDIS_PASSWORD \
              -e REDIS_PORT=$REDIS_PORT \
              -e AZURE_FRANCE_API_KEY=$AZURE_FRANCE_API_KEY \
              -e AZURE_EUROPE_API_KEY=$AZURE_EUROPE_API_KEY \
              -e AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
              -e AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \
              -e AWS_REGION_NAME=$AWS_REGION_NAME \
              -e AUTO_INFER_REGION=True \
              -e OPENAI_API_KEY=$OPENAI_API_KEY \
              -e LANGFUSE_PROJECT1_PUBLIC=$LANGFUSE_PROJECT1_PUBLIC \
              -e LANGFUSE_PROJECT2_PUBLIC=$LANGFUSE_PROJECT2_PUBLIC \
              -e LANGFUSE_PROJECT1_SECRET=$LANGFUSE_PROJECT1_SECRET \
              -e LANGFUSE_PROJECT2_SECRET=$LANGFUSE_PROJECT2_SECRET \
              --name my-app \
              -v $(pwd)/proxy_server_config.yaml:/app/config.yaml \
              my-app:latest \
              --config /app/config.yaml \
              --port 4000 \
              --detailed_debug \
      - run:
          name: Install curl and dockerize
          command: |
            sudo apt-get update
            sudo apt-get install -y curl
            sudo wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz
            sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz
            sudo rm dockerize-linux-amd64-v0.6.1.tar.gz
      - run:
          name: Start outputting logs
          command: docker logs -f my-app
          background: true
      - run: 
          name: Wait for app to be ready
          command: dockerize -wait http://localhost:4000 -timeout 5m
      - run:
          name: Run tests
          command: |
            pwd
            ls
            python -m pytest -vv tests/ -x --junitxml=test-results/junit.xml --durations=5 
          no_output_timeout: 120m

      # Store test results
      - store_test_results:
          path: test-results

  publish_to_pypi:
    docker:
      - image: cimg/python:3.8
    working_directory: ~/project

    environment:
      TWINE_USERNAME: __token__

    steps:
      - checkout

      - run:
          name: Copy model_prices_and_context_window File to model_prices_and_context_window_backup
          command: |
            cp model_prices_and_context_window.json litellm/model_prices_and_context_window_backup.json
      
      - run:
          name: Check if litellm dir was updated or if pyproject.toml was modified
          command: |
            if [ -n "$(git diff --name-only $CIRCLE_SHA1^..$CIRCLE_SHA1 | grep -E 'pyproject\.toml|litellm/')" ]; then
              echo "litellm updated"
            else
              echo "No changes to litellm or pyproject.toml. Skipping PyPI publish."
              circleci step halt
            fi

      - run:
          name: Checkout code
          command: git checkout $CIRCLE_SHA1

      # Check if setup.py is modified and publish to PyPI
      - run:
          name: PyPI publish
          command: |
            echo "Install TOML package."
            python -m pip install toml
            VERSION=$(python -c "import toml; print(toml.load('pyproject.toml')['tool']['poetry']['version'])")
            PACKAGE_NAME=$(python -c "import toml; print(toml.load('pyproject.toml')['tool']['poetry']['name'])")
            if ! pip show -v $PACKAGE_NAME | grep -q "Version: ${VERSION}"; then
                echo "pyproject.toml modified"
                echo -e "[pypi]\nusername = $PYPI_PUBLISH_USERNAME\npassword = $PYPI_PUBLISH_PASSWORD" > ~/.pypirc
                python -m pip install --upgrade pip
                pip install build
                pip install wheel
                pip install --upgrade twine setuptools
                rm -rf build dist

                echo "Building package"
                python -m build

                echo "Twine upload to dist"
                echo "Contents of dist directory:"
                ls dist/
                twine upload --verbose dist/*
            else
                echo "Version ${VERSION} of package is already published on PyPI. Skipping PyPI publish."
                circleci step halt
            fi
      - run:
          name: Trigger Github Action for new Docker Container
          command: |
            echo "Install TOML package."
            python3 -m pip install toml
            VERSION=$(python3 -c "import toml; print(toml.load('pyproject.toml')['tool']['poetry']['version'])")
            echo "LiteLLM Version ${VERSION}"
            curl -X POST \
              -H "Accept: application/vnd.github.v3+json" \
              -H "Authorization: Bearer $GITHUB_TOKEN" \
              "https://api.github.com/repos/BerriAI/litellm/actions/workflows/ghcr_deploy.yml/dispatches" \
              -d "{\"ref\":\"main\", \"inputs\":{\"tag\":\"v${VERSION}\", \"commit_hash\":\"$CIRCLE_SHA1\"}}"

workflows:
  version: 2
  build_and_test:
    jobs:
      - local_testing:
          filters:
            branches:
              only:
                - main
                - /litellm_.*/
      - build_and_test:
          filters:
            branches:
              only:
                - main
                - /litellm_.*/
      - installing_litellm_on_python:
          filters:
            branches:
              only:
                - main
                - /litellm_.*/
      - publish_to_pypi:
          requires:
            - local_testing
            - build_and_test
          filters:
            branches:
              only:
                - main